| 09:00 |
09:15 |
Eun-Ah Kim: Learning Quantum Matter from Data: Data Centric AI for Scientific Discovery
Chair: Yong Tao Tan
|
Vivek Natarajan: General-purpose AI systems from Google DeepMind designed to accelerate scientific discovery and democratize medical expertise
Chair: Melodie Christensen
|
Torsten Hoefler: Can we build an AI Climate Scientist?
Chair: Simon Billinge
|
| 09:15 |
09:30 |
Ulrich S. Schubert: Combining online characterization and synthetic robots – On the road to self-driving labs
|
| 09:30 |
09:45 |
Ray Meng Gao: New Frontiers in Machine Learned Quantum Chemistry
|
Alex Hammer: Beyond the Proof of Concept: Autonomous Electrocatalyst Discovery Within Industrial Constraints
|
| 09:45 |
10:00 |
Tommaso Dorigo: The second AI revolution in fundamental science
|
Michele Ceriotti: Let them learn: AI models that master materials physics
|
Felix Hanke: Orchestrating the Three-Body Problem of Machine Learning, Simulation, and Experiments in Materials Discovery
|
| 10:00 |
10:15 |
Ryutaro Uchiyama: AI-Driven Scaffolding of Open-ended Movement Exploration
|
Artem Mishchenko: Why Experimental Data is the Next Frontier for AI x Materials
|
| 10:15 |
10:30 |
Tejs Vegge: MaterialsCommons for Europe – SDLs and FAIR workflows for federated discovery of advanced materials
|
Truyen Tran: The New Scientific Method: Taste, Truth, and Thinking with AI
|
Qianxiao Li: Learning mesoscopic dynamics
|
| 10:30 |
11:00 |
Tea Break
Sponsored by SEA Garena
|
Tea Break
|
Tea Break
|
Tea Break
|
| 11:00 |
11:30 |
Curtis Berlinguette: Ada-Carbon: A self-driving laboratory to enable the lowest-cost pathway to scalable $\ce{CO_2}$-to-fuels conversion
Chair: Jacqueline Cole
|
Giacomo Indiveri: Bridging natural and artificial intelligence with mixed-signal neuromorphic circuits
Chair: Jennifer Dodgson
|
Bartosz Grzybowski: Can robots help us redefine chemical reactions?
Chair: Beatrice Soh
|
Jacqueline Cole: Data-Driven Materials Science for Energy-Sustainable Applications
Chair: Mohamad Moosavi
|
| 11:30 |
11:45 |
Maria K. Y. Chan: Seeing the invisible in materials with AI
|
Ngiam Kee Yuan: CASCADE AI - An Agentic AI Variant-to-Disease Mechanism Discovery
|
Adam Gormley: Polymer Biomaterials in a Self-Driving Lab
|
Berend Smit: AI-driven discovery of nanoporous materials
|
| 11:45 |
12:00 |
Lesley Schultz, Santha Santhakumar (TECAN & Acceleration Consortium): Accelerating Hit Optimization with Automated Parallel Synthesis
|
Aruhan Rui Shi: Macroeconomic Modeling and Forecasting with AI Tools
|
Shyue Ping Ong: Physics, Scaling and Data in Foundation Potentials
|
Steinn Sigurdsson: Surviving the Transition: Doing Science in an Age of AI Accelerated Discovery
|
| 12:00 |
12:15 |
Break
|
Jun Jiang: Building a Global Infrastructure for AI-Driven Innovation
|
Karsten Reuter: When the Algorithms Take Over: AI for Experiment Planning and Control
|
Break
|
| 12:15 |
12:30 |
Laura Matz: Unlocking Precision Medicine | The Digital Ecosystem Powering Tomorrow's Therapies
Chair: Kostya Novoselov
|
Carlo Vittorio Cannistraci: Brain-inspired sparse network science for next generation efficient and sustainable AI
Chair: Gavin Koon
|
| 12:30 |
12:45 |
Poster Session #1 / Lunch
|
Poster Session #2 / Lunch
|
| 12:45 |
13:00 |
Maksym Plakhotnyuk, ATLANT 3D: The Autonomous Materials Foundry: The Physical Infrastructure for AI-Driven Materials Discovery with Direct Atomic Layer Processing (DALP®) Technology
|
Tapio Schneider: First Principles, Fast Algorithms: The Physics-AI Synthesis in Earth System Modeling
|
| 13:00 |
13:15 |
| 13:15 |
14:45 |
Lunch
Sponsored by JEOL Asia Pte Ltd
|
Lunch
|
| Venues |
Olivia |
Sophia |
Moor |
Morrison |
Hullet |
Olivia |
Sophia |
Moor |
Morrison |
Hullet |
Olivia |
Sophia |
Moor |
Morrison |
Hullet |
Olivia |
Sophia |
Moor |
Morrison |
Hullet |
| 14:45 |
15:00 |
Bowen Li: AI-driven LNP design for mRNA delivery
Chair: Adam Gormley
|
Beatrice Soh: Learning Stochastic Polymer Dynamics at the Single-Molecule Level with High-Throughput Experiments
Chair: Ulrich S. Schubert
|
Yanwei Lum: Physical Unified Device Architecture for AI-Assisted $\ce{CO_2}$ Electrocatalysis
Chair: Berend Smit
|
Jennifer Dodgson: Negative Space Learning: Where Survival is the Only Reward
Chair: Tejs Vegge
|
Luis Camuñas-Mesa: Neuromorphic Systems: Towards Sustainable AI
Chair: Willi Gottstein
|
Antonio Helio Castro Neto: Machine learning for synthesis of real materials
Chair: Yeong Wai Yee
|
Nasim Abdollahi: Self-driving lab for viscous nanoemulsions
Chair: Yang Cao
|
Pengfei Ou: Machine Learning Accelerated Simulations of Electrochemical Interfaces
Chair: Yizhou Zhu
|
Yimu Zhao: Accelerating Biological Discovery Through AI, Robotics, and Human Organ Mimicry
Chair: Luis Camuñas-Mesa
|
Dmitry Vetrov: Thermodynamical Analogies in Deep Learning
Chair: Carlo Vittorio Cannistraci
|
Linh La: A Disorder-Aware Multi-fidelity Framework for Robust Prediction of Superconducting Critical Temperature
Chair: Artem Maevskiy
|
Leong Shi Xuan: Toward Safe Autonomy in Self-Driving Laboratories
Chair: Han Hao
|
Kye Sung Park: Learning Arrow Pushing for Reaction Space Prediction and Exploration
Chair: Benjamin Chen
|
Yatao Bian: Molecular Foundation Models: from Pretraining-Finetuning to LLMs
Chair: Yimu Zhao
|
Jeff Adie: NVIDIA Earth-2 and Generative AI for Climate and Weather
Chair: Tapio Schneider
|
Seunghwa Ryu: Physics-Informed AI for Inference and Design under Data Scarcity
Chair: Sonia Azimi Dijvejin
|
Yizhou Zhu: When Machine Learning Force Fields Fail Expectations: Lessons We Learned from Solid Electrolyte Materials
Chair: Wen Jie Ong
|
Keith A. Brown: Polymer Discovery through Modular Chemistry Plus Modular Automation
Chair: Felix Hanke
|
Melodie Christensen: Advancing Pharmaceutical Development Through AI/ML-Enabled Experimental Design
Chair: Nasim Abdollahi
|
Julian Prieto: The Geopolitics of AI Driven Scientific Discovery: Uneven Geographies of Self Driving Laboratories
Chair: Kourosh Darvish
|
| 15:00 |
15:15 |
Shigeru Kobayashi: Development of a benchtop self-driving laboratory for electrocatalyst deposition and evaluation
|
Stephen Dale: High-index saddle dynamics for the automated mapping of reaction routes
|
Mathilde Franckel: Accelerating Ammonia Decomposition Catalyst Discovery with AI
|
Ngoc Duy Dinh: Large Language Model Agents Enable Autonomous Design and Image Analysis of Microwell Microfluidics
|
Andrey Ustyuzhanin: Directing Open-Ended Evolution in Artificial Life via Temporal Multi-Scale Structural Complexity
|
Zhuoying Zhu: Accelerating materials innovation through automated theoretical-experimental iterations empowered by AI-Chemist
|
Martin Seifrid: Toward Generalizable, Data-Efficient Self-Driving Laboratories for Organic Materials
|
Haobo Li: Active Learning Interatomic Potentials-Enhanced Molecular Dynamics for Grain Boundary Engineering in Antiperovskite Solid Electrolytes
|
Alokendra Ghosh: Inferring Oocyte Cytoplasmic Material Properties from Cytoplasmic Streaming Movies Using Physics-Informed Neural Networks
|
Feixiang Ren: Towards Critical Branching Mechanism in Recurrent Neural Networks
|
Yuanchao Hu: Graph learning metallic glass discovery from Wikipedia
|
Christopher Hassam: Add, Mix, Heat, Filter - Repeat, Repeat, Repeat
|
Galymzhan Moldagulov: Hybrid Computational Strategy for Predicting Complex Ligand–Metal Architectures
|
Hongmin Chen: Instructing a Chatbot to Design Nucleic Acid Probes for Diagnostics
|
Gianmarco Mengaldo: Hybrid Physics-AI Digital Twins of the Earth System
|
Sergey Grebenchuk: Machine Learning-Assisted Search for Skyrmion-Hosting Heterostructures for Device Applications
|
Zheng Jie Liew: Learning Nonlinear Dissolution Trajectories in Binary Polymer–Solvent Systems
|
Andy Anker: Autonomous nanoparticle synthesis by design
|
Viktor Schlegel: MIRA: Medical Time Series Foundation Model for Real-World Health Data
|
Maryam Ebrahimiazar: Self Driving Discovery of Immersion Cooling Fluids for Data Center
|
| 15:15 |
15:30 |
Naruki Yoshikawa: NIMO Controller: An accessible self-driving laboratory orchestrator based on the model context protocol
|
Florian Boser: PlateOpt: Bayesian Optimization for Organic Catalysis in Combinatorial Well Plates
|
Yue Yifei: Towards ab-initio quality description of porous materials: Developing general Machine-Learned Potentials to simulate physical and adsorption properties of Metal-Organic Frameworks
|
Samuel Addington: Neurosymbolic Guardrails for World-Model Digital Twins: Securing AI-Driven Scientific Discovery and Autonomy
|
Maxime Goulet: Self-Driven Process Optimization in Pneumatic 3D Printing: From Static Ensemble Learning to Autonomous Bayesian Method
|
Hirokuni Jintoku: Accelerating Nanocarbon Dispersion Research via Machine Learning and Automated Experimentation
|
Timothy McClure: An Integrated Platform for In Situ Electroanalytical–Driven Reaction Optimization
|
Autonomous Discovery of High-performance Ni–Mo Electrocatalysts for Green Hydrogen Production
|
Zhen Yuan Yeo: Inferring the hidden and long-range dengue transmission routes in Singapore
|
Ling Feng: Order-chaos transition in deep neural network and its application to the training process
|
Jingbei Bai: Machine learning reveals transferable rules for predicting grain boundary segregation
|
Hugo Kvanta: A Self-Driving Lab for Novel Energy Material Discovery
|
Victor Posligua: Predictive mass spectrometry from quantum-mechanical fragmentation and intensity modelling
|
Wanyu Lin; Haowei Hua: Local-Global Associative Frames for Symmetry-Preserving Crystal Structure Modeling
|
Juntao Yang: From Global to Local: AI-based Climate Downscaling for Southeast Asia
|
Mathilde Franckel: High-throughput ML Screening of Doped Cathode Active Materials
|
Andy Paul Chen: Atomic Sudoku: Stochastic approaches for correlated disorder materials
|
Muye Xiao: Kinetic study of the aqueous Kolbe-Schmitt reaction enabled by automated reaction analysis
|
Lyubomir Kotopanov: From In Silico Design to Automated Synthesis: An AI-Driven Framework for Late-Stage Functionalization
|
Syed Momin Naqvi: Defending Federated Learning: Adaptive Integration of Differential Privacy, SMPC, and Byzantine Robustness
|
| 15:30 |
15:45 |
Calvin Phan: AutoMEA - an automated electrolyser device for self-driving labs
|
Xiao Li: A Self-Driving Closed-Loop Workflow for Data-Efficient Kinetic Modeling and Op-timization of the Aldol Reaction
|
Ivan Kruglov; Liudmila Klimova: Diffusion-Driven Generation of Novel Crystalline Materials with Target Optical Properties
|
Yitian Huang: How Prompt Structural Framing and Cognitive Scaffolding Influence Performance in Generative AI Design?
|
Paola Driza: A Framework for Bayesian Optimization in Mixture Spaces
|
Kensei Terashima: Automated Bulk Intermetallic Synthesis via Orchestrated Heterogeneous Laboratory Machines
|
Jeongwook Lim: Designing of Microfluidic Concentration Generator Module for Self-Driving Fluid Mixing System
|
Qi Jie Yeow: Large Language Model Assisted Optimisation of Photocatalytic Hydrogen Production
|
Giacomo Indiveri: Event driven neural network on a mixed signal neuromorphic processor for detecting EEG based epileptic seizure
|
Mengyi Chen: Scalable learning of macroscopic stochastic dynamics
|
Guangcun Shan: Atomic-Level Interpretable Multimodal Graph Neural Network for Predicting Carbon Capture in Metal-Organic Frameworks
|
Tim Kodalle: Combining robotic deposition tools and advanced characterization to enable ML-guided material discovery
|
Maik Gabriel Niedziella: ReactionEye: Integrating GC–MS Data and Chemical Context for Multimodal Structure Elucidation in Reaction Screening
|
Yoshinori Hayakawa: Bridging LLM-based planning and workflow languages for automated, validated, scalable exploration of scRNA-seq analyses
|
George Turkiyyah: Synthetic Geology: Structural Geology Meets Deep Learning
|
Xiangwen Wang: Discovery of flat-band 2D materials via physics-informed scoring and structure-based learning
|
Zhenzhu Li: Platonic representation of foundation machine learning interatomic potentials
|
Yuanyuan Zhou: Deciphering the operando mechanism of Haber-Bosch process
|
Theo Tait: Agentic AI–Enabled Integration of a Hybrid System of Predictive Models for Accelerated Direct‑Compression Drug Product Development
|
Minh Tri Nguyen: The Economy of Reasoning: Incentivizing Epistemic Diversity in Decentralized Scientific Swarms
|
| 15:45 |
16:00 |
Han Hao: Integrating Multimodal Knowledge Mining and Autonomous Experimentation for Accelerated Electrosynthesis Discovery
|
Chen Jie: A systematic effort toward establishing an automatic end-to-end synthesis workflow for small molecules
|
Alastair Price: Atom-in-molecule based quantum machine learning of defect formation energies
|
Mengjia Zhu: Can We Automate Scientific Reasoning in Closed-Loop Experiments using Large Language Models?
|
Hongbin Zhang: Bayesian Optimization for the Inverse Problems in Materials Science
|
Kazunori Nishio: Exploration of Ternary Thin-Film Lithium Solid Electrolyte Composites Using the Digital Laboratory for Enhanced Lithium-Ion Conductivity
|
Owen Melville: Resource-efficient Bayesian optimization for self-calibrating liquid handling
|
Yonatan Kurniawan: A reinforcement learning approach to generate equivalent circuit models for Electrochemical Impedance Spectroscopy
|
Poorva Pandya: Conceptualising Case Formulation as a Neurosymbolic AI Framework for Mental Health
|
Zhuoyuan Li: Learning non-equilibrium mesoscopic dynamics with Onsager principle
|
Adrien Goldszal: Discovery of Sustainable Refrigerants through Physics-Informed RL Fine-Tuning of Sequence Models
|
Linden Schrecker: Printing kinetic data and microkinetic models in an automated lab
|
Alexander Ryabov: Towards Data-Driven Nonlocal Density Functionals: Deep Learning DFT with Attention to approach Chemical Accuracy
|
yuxuan Ren: From Molecules to Materials and Proteins: Flow Autoencoders as Lossless and Unified Tokenizers
|
Nguyen Minh: Physics-informed Deep Operator Networks for Real-Time Spatiotemporal Monitoring of Indoor Air Quality
|
Liudmila Klimova: Materials informatics framework for accelerated discovery of high-refractive-index 2D materials
|
Litong Wu: The Zintl–Klemm Concept in the Amorphous State: A Case Study of Na–P Battery Anodes
|
Zhengzuo Liu: A Data-driven Closed-looped High-throughput Platform for Thermocatalyst Discovery
|
Sven Papidocha: From Model to Molecule: Rapid Discovery of Potent CDK2 Inhibitors Using Boltz-2
|
Dean Thomas: Securing Autonomous Chemical Robots Through Physical and Digital Containment
|
| 16:00 |
16:15 |
Ivory Wenyu Zhang: IvoryOS: An Interoperable Platform and Community for Self-Driving Laboratories
|
Wendi Cai: Automation and AI-Powered Prediction in Chromatographic Separation
|
Patrick Butler: AI-guided experimental design of zirconium MOPs with The World Avatar for sustainable photocatalysis
|
Yu Chinen: Evolving collaborative research ideas with multi-agent grounding in lab-specific contexts and literature
|
Yuki Takezawa: Meta Bayesian Optimization to Discover a Problem Worth Optimizing
|
Haiwen Dai: Closed Loop Inorganic Material Discovery with Design-Test-Make-Analyze Paradigm
|
David Scott Lewis: ACHT-World: Causal World Models for Closed-Loop Self-Driving Laboratories
|
Yicheng Chen: Benchmarking Foundation Potentials against Quantum Chemistry Methods for Predicting Molecular Redox Potentials
|
Malik Saif: The Cognitive Clinical OS: Architecting Asynchronous Agentic Reasoning for Real-Time Decision Support
|
Zhichao Han: Learning Permutation-invariant Macroscopic Dynamics
|
Shuya Yamazaki: CSX Framework for Synthesis-Oriented Generative Materials Discovery
|
Maria Politi: An End-to-end, Autonomous Platform for Liquid-liquid Extraction Optimization
|
Ekaterina Skorb: Nanostructured Material Design via a Retrieval-Augmented Generation (RAG) Approach: Bridging Laboratory Practice and Scientific Literature
|
Junhan Wang: Latent World Models of Cell Painting Data for In Silico Phenotypic Screening
|
Huixuan Sun: AI-Enabled 3D Glare Assessment Framework for Urban Solar Planning
|
Yihao Wei: Beyond Known Archetypes: A Generative AI Framework for Inverse Design of Flat-Band Materials from Geometric Outliers
|
Martin Hoffmann Petersen: Importance of Electronic Entropy for Machine Learning Interatomic Potentials
|
Ailsa Edward: Development of a Platform for Sustainable Metal-Organic Framework (MOF) Synthesis, MABIL: MOF Automation using Biomass-Inspired Linkers
|
Daniel Yanes: A machine learning workflow to accelerate the design of in vitro release tests from liposomes
|
David T T Tran; Ernest E Y Chan: Edge-AI Driven Automation for Scalable E-Waste Recycling
|
| 16:15 |
16:45 |
Tea Break
|
Tea Break
|
Tea Break
|
Tea Break
|
| Venues |
Olivia |
Sophia |
Moor |
Morrison |
Hullet |
Olivia |
Sophia |
Moor |
Morrison |
Hullet |
Olivia |
Sophia |
Moor |
Morrison |
Hullet |
Olivia |
Sophia |
Moor |
Morrison |
Hullet |
| 16:45 |
17:00 |
Yousung Jung: Designing Materials That Can Be Made
Chair: Victor Posligua
|
Shoichi Matsuda: Data-Driven Materials Discovery for Rechargeable Batteries: High-Throughput Experimental Platforms and Closed-Loop Autonomous Optimization
Chair: Keith A. Brown
|
Santiago Miret: How Autonomous Labs & AI Are Transforming Scientific Discovery
Chair: Andrey E Ustyuzhanin
|
Mohamad Moosavi: Reasoning in the Language of Materials
Chair: Ray Meng Gao
|
Ivor W. Tsang: Building Physical AI Systems: From Geometry and Physics to Scientific Discovery
Chair: Gianmarco Mengaldo
|
Yeong Wai Yee: Machine Learning for 3D Printed Soft Robotics and Intelligent Systems
Chair: Seunghwa Ryu
|
Daria Andreeva: Closed-Loop autonomous discovery of functional membranes and 2D Materials for resource recovery and energy applications
Chair: Shoichi Matsuda
|
Nancy F. Chen: Beyond Alignment: Grounding AI in Society
Chair: Truyen Tran
|
Marco Bernardi: Quantum Interactions in Materials: a New Frontier for AI
Chair: Shyue Ping Ong
|
Fernando Aguirre: CMOS-Integrated Silicon-Oxide Memristors: Reliability Characterization, SPICE-Based Circuit Simulation and potential application in neuromorphic computing
Chair: Giacomo Indiveri
|
Yongcun Song: Neural network methods for non-smooth PDE-constrained optimization
Chair: Eun-Ah Kim
|
Stuart Miller: Building a Decision-Driven Materials Discovery Institute: Early Insights from MDRI
Chair: Santiago Miret
|
Peichen Zhong: Towards in silico prediction of solid-state material synthesizability
Chair: Owen Melville
|
Wen Jie Ong: Accelerating AI-Powered Chemistry and Materials Science Simulations with NVIDIA ALCHEMI Toolkit
Chair: Karsten Reuter
|
Benjamin Chen: CatPlat: A Physics-Grounded Data Engine for AI-Driven Materials Discovery
Chair: Yanwei Lum
|
Atul Thakur: Simulation at GPU Speed: Reimagining Atomistic Simulation at Scale with NVIDIA ALCHEMI
Chair: Alex Hammer
|
Kourosh Darvish: A digital twin for sim-to-real chemistry lab automation
Chair: Artem Mishchenko
|
Yijun Li: AFPFusionLM: A Hybrid Sequence–Structure Protein Language Model for Antifreeze Protein Function Prediction
Chair: Yongcun Song
|
Haizhao Yang: Modeling and Computation in the Space of Language: Symbolic and LLM-Based Approaches
Chair: Aruhan Rui Shi
|
Simon Billinge: Characterizing electronic and structural states of materials with ML
Chair: Qianxiao Li
|
| 17:00 |
17:15 |
Sergei Tatarin: Towards accelerating the discovery of efficient iridium(III) emitters using a novel database and machine learning based only on structural formulas
|
Sanna Jarl: Machine learning for in-situ composition mapping in a self-driving magnetron sputtering system
|
Marcel Mueller: La Agente Optima – orchestrated Bayesian optimization and active learning for accelerated in-silico compound discovery
|
Fengxu Yang: A Universal Autonomous Agent for Atomistic Simulation and Benchmarking Its Capabilities
|
Abdul Kadir: A Three-Level Feature Selection Framework for Android Malware Detection
|
Hangwei Qian: A Multimodal Conditional JEPA for Composite Materials
|
Yuuya Nagata: Closed-loop Optimization of Mono-functionalization via Suzuki-Miyaura Reaction
|
Sulfikar Amir: Exploring Social Trust in AI
|
Yuehaw Khoo: Generative modeling and tensor-network
|
Santhosh Sivasubramani: LLM-Powered Autonomous Agents for Spintronic Device Optimization: From Rule-Based to AI-Driven Design
|
Yueming Lyu: NeCLO: Neural Convolutional Learning Optimizer for Electromagnetics
|
Honghao Chen: CatMaster: An Agentic Autonomous System for Computational Heterogeneous Catalysis Research
|
Kiran Vaddi: Beyond Point Sampling: Autonomous Phase Mapping of Biologic Formulation Stability via Hierarchical and Manifold Active Learning
|
Jiangjie Qiu: AdsorbFlow: energy-conditioned flow matching enables fast and realistic adsorbate placement
|
Shuan Chen: SynTwins: A Retrosynthesis-Guided Framework for Synthesizable Molecular Analog Generation
|
Yang Choo: A Standard Physical Environment for Benchmarking AI-driven Cell Biology
|
Ryo Akiba: Multi-objective optimization for designing structurally similar proteins with dissimilar sequences
|
Qixiang Zhang: PieLoT — LLM-driven Toolbox for Theorem Proving Education
|
Tanja Duric: $2k_F$ instability and chiral spin density wave at the 1/9 magnetization plateau in the kagome antiferromagnets
|
| 17:15 |
17:30 |
Lulu Wang: Data-scarce synthesis-by-design of ferroelectric Dion–Jacobson 2D hybrid organic–inorganic perovskites
|
Matthew Osvaldo: When is Bayesian Optimization Beneficial? A Critical Assessment of Optimization Strategies in High-Throughput Organic Photovoltaic Manufacturing
|
Jiaru Bai: El Agente Gráfico: Structured Execution Graph for Scientific Agents
|
Ioana Zelko: DarkMatterFM: An Agentic Foundation Model for Multimodal Dark-Matter Inference with GPU-Accelerated Emulators
|
Leonardo Pesce: Exiaa: Explainable Injections for Adversarial Attack
|
Bo Hu: Test-Time Self-Evolution in Multi-Agent Systems for Materials Discovery
|
Nicholas Warren: Flow Chemistry as a Platform for Experimental Multi-objective Optimization of Heterogeneous Polymer Synthesis
|
Nikita Kazeev: Align AI to our Aspirations, not our Flaws
|
Jiadong Dan: Symmetry-Aware Deep Learning for Generalizable STEM Phase Classification
|
Santhosh Sivasubramani: Design Methodologies for Skyrmion-Based Circuits and Systems in AI-Driven Applications: Bi-Directional Integration
|
Chun-Sung Jao: AI for Plasma Diagnostics in Laboratory Astrophysics: Reconstructing Invisible Fields from Proton Images
|
Dorye Luis Esteras: Exploration and simulation of emergent magnetic materials via AI-driven workflows
|
Shun Muroga: Self-Driving Labs for Nanomaterials Development for Energy Applications: Syn-thesis, Dispersion, and Composite Forming
|
Jiaqi Zheng, SEA Garena: Toward GPU-Native Electronic Structure Calculations
|
Jan Christopher Spies: Yield Prediction of Organic Reactions in Biased Datasets via Positive-Unlabeled Learning
|
Nikita Kazeev: LeMat-GenBench: A Unified Evaluation Framework for Crystal Generative Models
|
Tong Xie: MiST: Understanding the Role of Mid-Stage Scientific Training in Developing Chemical Reasoning Models
|
Fushuai Wang: End-to-end neural reconstruction of DNA structures from single-frame fluorescence images
|
Viktor Schlegel: BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling
|
Xianquan Yan: HSG-12M: A Large-Scale Benchmark of Spatial Multigraphs from the Energy Spectra of Non-Hermitian Crystals
|
| 17:30 |
17:45 |
SWITCH: SWITCH (EnterpriseSG) Talk
|
Fanjin Wang: Constrained composite Bayesian optimisation for rational synthesis of polymeric particles
|
Shruti Badhwar: SciAgent: Containerized Code Generation for Scientific Computing with Verification
|
Zonglin Yang: MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search
|
Qian Yang: MultiTaskDeltaNet: Change Detection-based Image Segmentation for operando ETEM with Application to Carbon Gasification Kinetics
|
Ben Rowlinson: Data-Driven Property Prediction for Memristor Resistive Switching Layers
|
Ryo Tamura: NIMO: Universal Middleware for Closed-Loop Materials Exploration
|
Reena Shadaan: Ethical Nail Salons: A community-governed and SDL-facilitated approach to mitigate occupational chemical hazards in nail salons
|
Yue Yifei: Mapping diverse structures of liquid water and ice using variational autoencoders: A vector quantization approach to discover structural motifs in model latent spaces
|
Santhosh Sivasubramani: Ultra-low-energy skyrmion-based learning automata element for adaptive edge intelligence
|
Nagendra Nagaraja, QpiAI India: Quantum AI
|
Jaehwan Choi: Materealize: a multi-agent deliberation system for end-to-end material design and synthesis
|
Udo Bach: An Autonomous Discovery Platform for Inorganic Photovoltaic Absorbers Beyond Lead Halide Perovskites
|
Ultrafast Spectroscopy Meets Data-Driven Materials Discovery at the Institut Courtois, Université de Montréal
|
Balamurugan Ramalingam: Generative Design and Experimental Validation of Non-Fullerene Acceptors for Photovoltaics
|
Manuel Kober-Czerny: Using Time-Series Forecasting to Accelerate Materials Stability Assessments
|
Sayan Doloi: Democratizing Discovery: Ultra-Low-Cost Self-Driving Laboratories for Materials Science
|
Poompol Buathong: Better Protein Function Prediction by Modeling Survivorship Bias
|
Linus Ng: Beyond Semantic Similarity: A Two-Phase Non-Parametric Retrieval Workflow for Corporate Credit Underwriting
|
Zekun Shi, SEA Garena: Flow-Distorted Plane Waves
|
| 17:45 |
18:00 |
Emha Bayu Miftahullatif: High-Throughput In-Device Screening of Printable Lead-Free Halide Perovskite Memristors via Machine Learning-Driven Optimization
|
Lars Sonneveld: Autonomous Optimization of Perovskite Solar Cell Thin Films via Robotic Spin-Coating and Bayesian Optimization
|
Zijian Zhang: El Agente Forjador: Task-Driven Agent Generation for Quantum Simulation
|
Jingyu Feng: DIGIBAT: Bridging the gap between physical automation and AI in energy research
|
Bohui lyu: Code and Data are not all you need for reproducibility
|
Atish Dixit: EMOS: The Unified AI Platform for Electronic Materials Discovery
|
MCP-Enabled LLM Agents for Closed-Loop Optimization in Real-Time Physical Experiments
|
Eric J. W. Orlowski: AI & Culture Alignment: Interpretation over Measurement
|
Qianshu Ye: VLM4Physics: Equation Discovery Using Multi-modal Inputs
|
Jianlong Lu: Spectrum-Aware Quantum Control beyond Classical Spectral Access
|
Subhajit Dandapat: Transformers with Physics-informed encodings and Simulation-Based inference for robust Gravitational-Wave detection in Pulsar Timing Array data
|
Yizhe Chen: SemiMat: A Semi-Supervised Toolkit for Data-Scarce Materials Property Prediction
|
Holger RöHM: E-MAP – A Self Driving Lab for Solution Based Combinatorial Semiconductor Discovery
|
Nitish Govindarajan: The Open Catalyst 2025 (OC25) Dataset and Models for Solid-Liquid Interfaces
|
Amirreza Mottafegh: Adaptive Human-in-the-Loop Optimization Using Language-Guided Priors for Chemical Synthesis
|
Ivan Trofimov: Symmetry‐Aware Equivariant Network for Discovering SHG‐Active Materials
|
Shreyas Pethe: Automated High Throughput Optimization for Halide Perovskite Memristors
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Michal Kobiela: Risk-averse optimization of genetic circuits under uncertainty
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Thi Ngoc Nguyen: ESS-MOTIFS: Discovering Rubric-Aligned Motifs for Cohort-Level Essay Assessment
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Jonas Elsborg: Global Plane Waves From Local Gaussians: Periodic Charge Densities in a Blink
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