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Daniel T. Speckhard

12 papers hereh-index 5191 citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author4
  • middle author5

Across the 10 of 12 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci4
  • cs.LG2
  • physics.comp-ph2
  • cs.DC1
  • eess.AS1
  • physics.soc-ph1

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedOPTIMADE, an API for exchanging materials data

107 citations · 120 across the 11 of their papers we have counts for

collaborators
Showing 2025Show all

3 papers · 1 filter

physics.soc-ph2025

Information-Theoretic Grid Topology Reconstruction using Low-Precision Smart Meter Data

Daniel T. Speckhard

Accurate knowledge of power grid topology is a prerequisite for effective state estimation and grid stability. While data-driven methods for topology reconstruction exist, the mini…

cond-mat.mtrl-sci2025★ 8 cited

Roadmap on Advancements of the FHI-aims Software Package

Joseph W. Abbott, Carlos Mera Acosta, Alaa Akkoush +203

Electronic-structure theory is the foundation of the description of materials including multiscale modeling of their properties and functions. Obviously, without sufficient accurac…

cs.LG2025★ 1 cited

Training speedups via batching for geometric learning: an analysis of static and dynamic algorithms

Daniel T. Speckhard, Tim Bechtel, Sebastian Kehl +2

Graph neural networks (GNN) have shown promising results for several domains such as materials science, chemistry, and the social sciences. GNN models often contain millions of par…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.