Cover Image

Natural Language Embeddings of Synthesis and Testing conditions Enhance Glass Dissolution Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mannan, Sajid, Nambudiripad, K. Sidharth, Mandal, Indrajeet, Gosvami, Nitya Nand, Krishnan, N. M. Anoop
Format:	Preprint
Published:	2026
Subjects:	Materials Science
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Graphene Mitigates Nanoscale Tribochemical Wear of Silica Glass in Water
by: Sourav Sahoo, et al.
Published: (2024)

Autonomous Microscopy Experiments through Large Language Model Agents
by: Mandal, Indrajeet, et al.
Published: (2024)

Evaluating Universal Machine Learning Force Fields Against Experimental Measurements
by: Mannan, Sajid, et al.
Published: (2025)

Reactive Glass Metal Interaction under Ambient Conditions Enables Surface Modification of Gold Nanoislands
by: Haque, Sinorul, et al.
Published: (2025)

Velocity Weakening in Anisotropic Friction on a Tilted Titania Nanorod Forest
by: Datta, Debottam, et al.
Published: (2026)

AI scientists produce results without reasoning scientifically
by: Ríos-García, Martiño, et al.
Published: (2026)

Sustainable Materials Discovery in the Era of Artificial Intelligence
by: Mannan, Sajid, et al.
Published: (2026)

Energy & Force Regression on DFT Trajectories is Not Enough for Universal Machine Learning Interatomic Potentials
by: Miret, Santiago, et al.
Published: (2025)

Reactive Glass–Metal Interaction under Ambient Conditions Enables Surface Modification of Gold Nano‐Islands
by: Sinorul Haque, et al.
Published: (2025)

Navigating energy landscapes for materials discovery: Integrating modeling, simulation, and machine learning
by: Sajid Mannan, et al.
Published: (2024)

Probing the limitations of multimodal language models for chemistry and materials research
by: Alampara, Nawaf, et al.
Published: (2024)

Are LLMs Ready for Real-World Materials Discovery?
by: Miret, Santiago, et al.
Published: (2024)

MatSKRAFT: A framework for large-scale materials knowledge extraction from scientific tables
by: Hira, Kausik, et al.
Published: (2025)

Industrial-scale Prediction of Cement Clinker Phases using Machine Learning
by: Fayaz, Sheikh Junaid, et al.
Published: (2024)

Disorder-induced enhancement of lithium-ion transport in solid-state electrolytes
by: Chen, Zhimin, et al.
Published: (2024)

Reconstructing Materials Tetrahedron: Challenges in Materials Information Extraction
by: Hira, Kausik, et al.
Published: (2023)

Quantitative Measurement of Interfacial Adhesion of CVD Grown Bilayer WS2 on Various Substrates
by: Yadu Chandran, et al.
Published: (2024)

Efficient Learning Strategy for Predicting Glass Forming Ability in Imbalanced Datasets of Bulk Metallic Glasses
by: Gong, Xuhe, et al.
Published: (2024)

Mechanical Behaviour of Glass Fibre-Reinforced Polymer/Polyvinyl Chloride Foam Cored Sandwich Structures
by: Edwin Cheruiyot Kosgey, et al.
Published: (2024)

Dissolution kinetics of iron sulfide minerals in alkaline solutions
by: Li, Zhanzhao, et al.
Published: (2025)

High-throughput Search for Metallic Altermagnets by Embedded Dynamical Mean Field Theory
by: Wan, Xuhao, et al.
Published: (2024)

Force field optimization by end-to-end differentiable atomistic simulation
by: Gangan, Abhijeet S., et al.
Published: (2024)

DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles
by: Gupta, Tanishq, et al.
Published: (2022)

A Coordination-Based Model for the Prediction of Surface Energies and the Shape of Metal Particles
by: Mandal, Shyama Charan, et al.
Published: (2025)

Foundational Large Language Models for Materials Research
by: Mishra, Vaibhav, et al.
Published: (2024)

Dissolution zone model of the oxide structure in additively manufactured dispersion-strengthened alloys
by: Hou, Wenyuan, et al.
Published: (2024)

A Machine Learning Framework for Predicting Glass-Forming Ability in Ternary Alloy Systems
by: Mahmoudi, Fatemeh
Published: (2025)

Special Glass Structures for First Principles Studies of Bulk Metallic Glasses
by: Zhu, Siya, et al.
Published: (2023)

Understanding Magnesium Dissolution through Machine Learn-ing Molecular Dynamics
by: Liu, Zhoulin, et al.
Published: (2025)

Machine Learning-Driven Insights into Excitonic Effects in 2D Materials
by: Javed, Ahsan, et al.
Published: (2025)

Glass clarified as the self-organizing system
by: Chechetkina, Elena A.
Published: (2024)

Three-Stage Synthesis of a Cobalt-Embedded Graphene-like Carbon Framework with Long-Range Atomic Order
by: Ryzhkova, G. G., et al.
Published: (2025)

Low temperature phase of AuSn$_{4}$ induced by the van der Waals interactions
by: Yadav, Shivam, et al.
Published: (2023)

Large Language Model-Guided Prediction Toward Quantum Materials Synthesis
by: Okabe, Ryotaro, et al.
Published: (2024)

Polarizable Embedding QM/MM for Periodic Systems
by: Bessner, Julian, et al.
Published: (2026)

EOSnet: Embedded Overlap Structures for Graph Neural Networks in Predicting Material Properties
by: Tao, Shuo, et al.
Published: (2024)

Texture- and Stress-Dependent Electromechanical Response in Ferroelectric PZT: Insights from a Micromechanical Model
by: Mandal, Saujatya, et al.
Published: (2025)

Intellectual Property Rights in India: A New Regime
by: Pandey, Dr. Nitya Nand
Published: (2017)

Unveiling the Superconducting Ground State of Heusler alloy Pd2ZrIn via muon spin relaxation and rotation measurement
by: Yadav, Kavita, et al.
Published: (2026)

Kinetic Flux Equations for Ion Exchange in Silicate Glasses
by: Macrelli, Guglielmo
Published: (2026)