Zobrazeno 1 - 10
of 679
pro vyhledávání: '"Bühler Markus"'
Peptides are ubiquitous and important biologically derived molecules, that have been found to self-assemble to form a wide array of structures. Extensive research has explored the impacts of both internal chemical composition and external environment
Externí odkaz:
http://arxiv.org/abs/2411.05421
A multi-agent AI model is used to automate the discovery of new metallic alloys, integrating multimodal data and external knowledge including insights from physics via atomistic simulations. Our multi-agent system features three key components: (a) a
Externí odkaz:
http://arxiv.org/abs/2410.13768
Autor:
Buehler, Markus J.
PRefLexOR (Preference-based Recursive Language Modeling for Exploratory Optimization of Reasoning) combines preference optimization with concepts from Reinforcement Learning to enable models to self-teach through iterative reasoning improvements. We
Externí odkaz:
http://arxiv.org/abs/2410.12375
A key challenge in artificial intelligence is the creation of systems capable of autonomously advancing scientific understanding by exploring novel domains, identifying complex patterns, and uncovering previously unseen connections in vast scientific
Externí odkaz:
http://arxiv.org/abs/2409.05556
The advancement of Large Language Models (LLMs) for domain applications in fields such as materials science and engineering depends on the development of fine-tuning strategies that adapt models for specialized, technical capabilities. In this work,
Externí odkaz:
http://arxiv.org/abs/2409.03444
Conway's Game of Life (Life), a well known algorithm within the broader class of cellular automata (CA), exhibits complex emergent dynamics, with extreme sensitivity to initial conditions. Modeling and predicting such intricate behavior without expli
Externí odkaz:
http://arxiv.org/abs/2409.12182
The design of alloys is a multi-scale problem that requires a holistic approach that involves retrieving relevant knowledge, applying advanced computational methods, conducting experimental validations, and analyzing the results, a process that is ty
Externí odkaz:
http://arxiv.org/abs/2407.10022
During developmental processes such as embryogenesis, how a group of cells fold into specific structures, is a central question in biology that defines how living organisms form. Establishing tissue-level morphology critically relies on how every sin
Externí odkaz:
http://arxiv.org/abs/2407.07055
Autor:
Buehler, Markus J.
We present Cephalo, a series of multimodal vision large language models (V-LLMs) designed for materials science applications, integrating visual and linguistic data for enhanced understanding. A key innovation of Cephalo is its advanced dataset gener
Externí odkaz:
http://arxiv.org/abs/2405.19076
Autor:
Buehler, Markus J.
Leveraging generative Artificial Intelligence (AI), we have transformed a dataset comprising 1,000 scientific papers into an ontological knowledge graph. Through an in-depth structural analysis, we have calculated node degrees, identified communities
Externí odkaz:
http://arxiv.org/abs/2403.11996