ReviewACS physical chemistry Au2025
Is the Future of Materials Amorphous? Challenges and Opportunities in Simulations of Amorphous Materials.
Review in ACS physical chemistry Au, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- In Silicon Deciphering Atomic-Scale Structural Units in Peptide Glass.Angewandte Chemie (International ed. in English) · 2026Article
- Origin of Structural Variations in Amorphous SiOThe journal of physical chemistry. C, Nanomaterials and interfaces · 2026Article
- Reversible Thickness Engineering in Amorphous InNano letters · 2026Article
- Construction of Amorphous Structure Models via Relaxation of Random Arrangements of Molecules.Physical review materials · 2026Article
- Application of Amorphous Nanomaterials in Dentistry: A Comprehensive Review.Journal of functional biomaterials · 2025Review
- Hypercrosslinked Polymers for Volatile and Very Volatile Organic Compound Capture Beyond Commercial Benchmarks.Angewandte Chemie (International ed. in English) · 2025Article
- The emergence of amorphous materials approaching the single-layer limit.Chemical science · 2025Review
- Designing the Self-Assembly of Disordered Materials Via Color Frustration.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- An AI-Powered Methodology for Atomic-Scale Analysis of Heterogenized Correlated Single-Atom Catalysts.Small methods · 2025Article
- Application of Machine Learning in Amorphous Alloys.Materials (Basel, Switzerland) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Amorphous solids form an enormous and underutilized class of materials. In order to drive the discovery of new useful amorphous materials further we need to achieve a closer convergence between computational and experimental methods. In this review, we highlight some of the important gaps between computational simulations and experiments, discuss popular state-of-the-art computational techniques such as the Activation Relaxation Technique
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.