This is a source-linked database of all-solid-state battery (ASSB) electrolyte formulations and their reported electrochemical performance, extracted from 1,000 peer-reviewed publications. Every record in the database is traceable to a source DOI and the reporting publication. Content • 2,764 electrolyte-formulation re...
Dongxu Guo· Zenodo (CERN European Organi...· 0 citations
Non-NF2 schwannomatosis (SWN) is a rare syndrome that causes nerve sheath tumors with complex genetic variations and poorly understood modifiers. With no approved pharmacologic interventions, there is an urgent need for treatments that prevent or reduce tumor growth, or that ameliorate schwannoma-associated pain. Many...
Alexandra J. Scott, Ethan Haas, Cristina Fernández‐Valle et al.· Figshare· 0 citations
This review examines how current systems translate materials questions into computational tasks, identifies the settings in which reliability and recovery have been demonstrated, and explains why runnable calculations should be distinguished from scientifically justified conclusions.
Distressing low sexual desire is the most prevalent sexual dysfunction among women. One treatment option is eSense, an effective digital tool delivering mindfulness-based therapy (MBT). It integrates human “navigators” to support users and, though they improve eSense adherence, may be costly during scale-up. Large lang...
Denise Wenxi Zhu· cIRcle (University of Britis...· 0 citations
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Pegasus AI is developing an AI-driven scientific workflow management system that combines machine learning, large language models, online monitoring, and human guidance to support the workflow lifecycle. It helps scientists create workflows, predict resource requirements, monitor execution, diagnose failures, and adapt...
human vs LLM in adaptive decision making, including four reinforcement learning tasks(one-armed, two-armed bandit tasks, reversal learning task and two-step task)
Large language model (LLM)-based agents are evolving into agents for computer use (ACUs) that read files, invoke applications, communicate over networks, and operate graphical interfaces, moving the effective security boundary from model inputs and outputs to autonomous actions that alter endpoint state. Conventional i...
Changhee Kim, Seong-je Cho· Electronics· 0 citations
This paper investigates hallucinations in large language models from the perspective of structured extraction, using prompt-based Semantic Role Labeling (SRL) as a controlled case study. SRL requires exact span boundaries and role assignments, while prompting constrained by rationales exposes the reasoning trace associ...
Ioannis Kazlaris, Konstantinos Diamantaras, Efstathios Antoniou et al.· Machine Learning and Knowled...· 0 citations
It is suggested that reasoning alone is not sufficient for tournament forecasting when the task depends on current squads, recent performance, injuries, rankings, and evolving football context, and this study provides a reproducible evaluation framework for large language model-based sports forecasting.
Ádám Hartvég, Domonkos Dékány, Barbara Simon et al.· Forecasting· 0 citations
The rapid development of large language models and autonomous intelligent agents has significantly expanded
the capabilities of natural language processing and decision support. However, practical implementation reveals
fundamental limitations, particularly in tasks requiring computational robustness, reproducibility o...
V. Rotkin· International Journal of Inn...· 0 citations
Preprint version 6 (posted 4 September 2026). This version supersedes versions 1–5 and should be used in preference to them. Versions 1–5 were posted on 6 April, 3 June and 4 June 2026. What changed, and why. Version 6 reports a corrected re-analysis carried out after peer review. An audit of the data-charting pipeline...
Hayden Farquhar· Zenodo (CERN European Organi...· 0 citations
Preprint, version 2. This manuscript has not been peer reviewed. It is under consideration at a peer-reviewed journal. This version supersedes version 1 (10.5281/zenodo.19411761, April 2026), which should no longer be cited for any numerical result. The review was rebuilt rather than amended, and the two versions do no...
Hayden Luke Farquhar· Zenodo (CERN European Organi...· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Microsoft Research Blog· microsoft.comOct 12, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
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