Publication Title
1
Diagonal symmetrization of neural network solvers for the many-electron Schrödinger equation.
2
LLM-Prop: predicting the properties of crystalline materials using large language models
3
A multivariate library of zirconia metal-organic frameworks with dissolved permanent dipoles and concentration-dependent optical and dielectric response.
4
Benchmarking Visual Language Models on Standardized Visualization Literacy Tests
5
Phase behavior, crystal structure, and superprotonic conductivity of Cs[(H2PO4)1-2y(HPO4)y]: phosphate deficient analogs to cubic CsH2PO4 in the (1-x)CsH2PO4 – xCs2HPO4 system
6
Mapping the configuration space of half-Heusler compounds via subspace identification for thermoelectric materials discovery
7
Deciphering self-assembly mechanisms of IRMOF-n-inspired three-dimensional cubic-symmetry nanoporous crystals from multiscale simulations.
8
Diversification of acridinium photocatalysts: Property tuning and reactivity in model reactions
9
Crystal Generative Modeling with Explicit Autoregressive Conditional Likelihoods and Nontrivial Space Group Stabilizers
10
Real-time design of architectural structures with differentiable simulators and neural networks
11
Graph Neural Networks Gone Hogwild
12
Designing Mechanical Meta-Materials by Learning Equivariant Flows
13
Amphoteric doping and thermoelectric transport in the CuInTe2–ZnTe solid solution
14
Modeling glasses from first-principles using random structure sampling
15
Ag Vacancies as “Killer-Defects” in CaAgSb Thermoelectrics
16
Towards MatCore: A Unified Metadata Standard for Materials Science
17
Complex Thermoelectric Transport in Bi-Sb Alloys
18
Basin-Size Mapping: Prediction of Metastable Polymorph Synthesizability Across TaC–TaN Alloys
19
AI-Ready Data: Knowledge Extraction from Archival Lab Notebooks
20
LLM4Mat-Bench: Benchmarking Large Language Models For Materials Property Prediction.
21
MOFs to enhance green NH3 synthesis in plasma reactors: hierarchical computational screening enhanced by iterative machine learning
22
Multiple defect states engineering towards high thermoelectric performance in GeTe-based materials
23
High Temperature Phase Transformations and Superprotonic Conductivity in Cs2(HSeO4)(H2PO4)
24
Diversity-driven, efficient exploration of a MOF design space to optimize MOF properties: application to NH3 adsorption
25
Active learning of alchemical adsorption simulations; towards a universal adsorption mode
26
Automated Discovery of Reprogrammable Nonlinear Dynamic Metamaterials
27
DimBridge: Interactive Explanation of Visual Patterns in Dimensionality Reductions with Predicate Logic
28
Recyclable All-in-One Organo-Photo-Auxiliaries Enabling (sp3)C−(sp3)C Coupling Reactions with Diverse Functionalities
29
Enhancing Semantic Interoperability Across Materials Science With HIVE4MAT
30
Beware of Validation by Eye: Visual Validation of Linear Trends in Scatterplots
31
Coupling form-finding methods for efficient structural shape optimization via gradient descent
99 rows
DOI
Category
Keywords
Code
Research Group
Publication Date
https://openreview.net/pdf/3f6f16d02b889418371a547b4d1ef3011e83fdd1.pdf
Chemistry
Computational Methods
Symmetry
Chemical structure
Crystallography
Computational chemistry
Automatic differentiation
Gradient-based methods
JAX
Monte Carlo methods
Neural networks
Optimization
https://github.com/PrincetonLIPS/invariant-DeepSolid
Adams
Ertekin
https://doi.org/10.1038/s41524-025-01536-2
Materials Science
Data Science
Crystallography
Natural language processing
https://github.com/vertaix/LLM-Prop
Dieng
https://doi.org/10.1039/D5CE00299K
Materials Science
Chemistry
Non-linear response
Metal-organic frameworks
Porous Materials
Reticular Chemistry
Symmetry
Chemical structure
Crystallography
Synthesis
Uribe-Romo
https://doi.org/10.1111/cgf.70137
Data Science
Visual analytics
https://github.com/washuvis/VisLit-VLM-Eval
Ottley
https://doi.org/10.1039/D4TA08426H
Materials Science
Superionic conductors
Phase transitions
Ion transport
Chemical structure
Crystallography
Haile
https://doi.org/10.1039/D5TA00397K
Materials Science
Chemistry
Alloys
Thermoelectric materials
DFT
Ertekin
Toberer
https://doi.org/10.1021/acs.chemmater.5c00527
Materials Science
Computational Methods
Metal-organic frameworks
Molecular Dynamics
Free energy landscapes
Coarse-graining Simulations
Enhanced Sampling
Gomez-Gualdron
https://doi.org/10.1016/j.tetlet.2025.155546
Chemistry
Computational Methods
DFT
Excited-state dynamics
Photochemistry
Computational chemistry
Inverse design
Doyle
Lopez
https://openreview.net/forum?id=1ne8lalwRN
Materials Science
Computational Methods
Symmetry
Crystallography
Enhanced Sampling
Neural networks
Generative models
Adams
Ertekin
https://openreview.net/forum?id=Tpjq66xwTq
Engineering
Computational Methods
Form-finding
Autoencoders
Neural networks
Inverse design
Surrogate Models
https://github.com/princetonlips/neural_fdm
Adams
Adriaenssens
https://openreview.net/forum?id=WfxPVtYRlL
Computational Methods
Data Science
Automatic differentiation
Convergence analysis
Gradient-based methods
Neural networks
Optimization
Adams
https://openreview.net/forum?id=VMurwgAFWP
Engineering
Computational Methods
Symmetry
Mechanical metamaterials
Non-linear response
Automatic differentiation
Enhanced Sampling
Neural networks
Adams
Bertoldi
https://doi.org/10.1039/D4TC05216A
Materials Science
Chemistry
Alloys
Thermoelectric materials
DFT
Ertekin
Toberer
https://doi.org/10.1063/5.0243888
Materials Science
Representations
Uncertainty analysis
Toberer
https://doi.org/10.1021/acsaem.4c02907
Materials Science
Chemistry
Thermoelectric materials
Phase transitions
Crystallography
DFT
Ertekin
https://doi.org/10.48550/arXiv.2502.07106
Materials Science
Computational Methods
Metadata
FAIR
Molecular Dynamics
DFT
Ertekin
Greenberg
Toberer
https://doi.org/10.1063/5.0237802
Materials Science
Alloys
Thermoelectric materials
Ertekin
Toberer
https://pubs.acs.org/doi/full/10.1021/jacs.4c15441
Materials Science
Chemistry
Alloys
DFT
Synthesis
Free energy landscapes
Uncertainty analysis
Garnett
Toberer
https://doi.org/10.1109/BigData62323.2024.10825206
Chemistry
Computational Methods
Metal-organic frameworks
Porous Materials
Synthesis
Knowledge extraction
Knowledge structures
Metadata
Greenberg
Uribe-Romo
https://doi.org/10.1088/2632-2153/add3bb
Materials Science
Data Science
Metal-organic frameworks
Porous Materials
https://github.com/vertaix/LLM4Mat-Bench
Dieng
https://doi.org/10.1021/acsami.4c11396
Materials Science
Data Science
Metal-organic frameworks
Monte Carlo methods
Neural networks
Representations
High-throughput screening
Gomez-Gualdron
https://www.sciencedirect.com/science/article/pii/S1385894724077416
Materials Science
Chemistry
Alloys
Thermoelectric materials
Chemical structure
Toberer
https://doi.org/10.1016/j.ssi.2024.116690
Materials Science
Chemistry
Superionic conductors
Phase transitions
Ion transport
Crystallography
Haile
https://doi.org/10.1039/D4SC03609C
Materials Science
Data Science
Metal-organic frameworks
Bayesian methods
Search methods
Diversity metrics
High-throughput screening
https://github.com/vertaix/VBO
Dieng
Gomez-Gualdron
https://doi.org/10.1039/D4SC02156H
Materials Science
Data Science
Metal-organic frameworks
Monte Carlo methods
Search methods
Representations
Gomez-Gualdron
https://doi.org/10.1038/s41563-024-02008-6
Engineering
Computational Methods
Mechanical metamaterials
Non-linear response
Automatic differentiation
JAX
Inverse design
https://github.com/bertoldi-collab/DifFlexMM
Adams
Bertoldi
https://doi.org/10.1109/TVCG.2024.3456391
Data Science
Visual analytics
User interface design
Chang
https://doi.org/10.1002/adsc.202400899
Chemistry
Computational Methods
Chemical structure
DFT
Synthesis
Lopez
https://doi.org/10.48550/arXiv.2411.00676
Materials Science
Data Science
Knowledge extraction
Knowledge structures
Metadata
Natural language processing
FAIR
https://gitlab.cci.drexel.edu/mrc/hive4mat
Greenberg
https://doi.org/10.1109/TVCG.2024.3456305
Data Science
User interface design
Visual analytics
Chang
https://app.iass2024.org/files/IASS_2024_Paper_41.pdf
Engineering
Computational Methods
Form-finding
Lattices
Automatic differentiation
Gradient-based methods
Inverse design
Adriaenssens