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Publication Year: 2025

811 to 820 of 1,862 Results

Additional_file_6A_AA_LAR_ANR_DFR.fasta Aug 22, 2025 - Supplementary data to Evolutionary Dynamics of the Proanthocyanidin Biosynthesis Gene LAR Unknown - 404.9 KB - MD5: 482e4909f86ac25b7c526fd034982b45 Contains polypeptide sequences of LAR, ANR, and DFR.
Additional_file_6B_CDS_LAR_ANR_DFR.fasta Aug 22, 2025 - Supplementary data to Evolutionary Dynamics of the Proanthocyanidin Biosynthesis Gene LAR Unknown - 724.9 KB - MD5: 3fbe7af9ad0629bf38b73770a76d90f0 Contains coding sequences (CDS) of LAR, ANR, and DFR.
Code and scripts for ``Matching Lagrangian and Hamiltonian Simulations in (2+1)-dimensional U(1) Gauge Theory'' Aug 20, 2025 Groß, Christiane Franziska; Romiti, Simone; Funcke, Lena; Jansen, Karl; Kan, Angus; Kühn, Stefan; Urbach, Carsten, 2025, "Code and scripts for ``Matching Lagrangian and Hamiltonian Simulations in (2+1)-dimensional U(1) Gauge Theory''", https://doi.org/10.60507/FK2/AUJJ08, bonndata, V1 At finite lattice spacing, Lagrangian and Hamiltonian predictions differ due to discretization effects. In the Hamiltonian limit, i.e. at vanishing temporal lattice spacing a_t, the path integral approach in the Lagrangian formalism reproduces the results of the Hamiltonian theory. In this work, we numerically calculate the Hamiltonian limit of a U...
data.zip Aug 20, 2025 - Code and scripts for ``Matching Lagrangian and Hamiltonian Simulations in (2+1)-dimensional U(1) Gauge Theory'' ZIP Archive - 257.7 KB - MD5: 9c1052c22417070b3c96a2ac30007058
README.txt Aug 20, 2025 - Code and scripts for ``Matching Lagrangian and Hamiltonian Simulations in (2+1)-dimensional U(1) Gauge Theory'' Plain Text - 12.0 KB - MD5: 2f7acb8689c8e4881c0fd0dba5a35763
A framework for the emergence and analysis of language in social learning agents Aug 20, 2025 - SFB1089 Wieczorek, Tobias J.; Tchumatchenko, Tatjana; Wert-Carvajal, Carlos; Eggl, Maximilian, 2025, "A framework for the emergence and analysis of language in social learning agents", https://doi.org/10.60507/FK2/Z7NCOP, bonndata, V1 Neural systems have evolved not only to solve environmental challenges through internal representations but also, under social constraints, to communicate these to conspecifics. In this work, we aim to understand the structure of these internal representations and how they may be optimized to transmit pertinent information from one individual to an...
data.zip Aug 20, 2025 - A framework for the emergence and analysis of language in social learning agents ZIP Archive - 62.4 MB - MD5: 9aaa729bb00833fed4a7334ba385cc0e
language_emergence_review.ipynb Aug 20, 2025 - A framework for the emergence and analysis of language in social learning agents Jupyter Notebook - 230.1 KB - MD5: 7d6537faa0e1277b55e85a2913652c5b
README.md Aug 20, 2025 - A framework for the emergence and analysis of language in social learning agents Markdown Text - 7.3 KB - MD5: 3041a7952943a03b5d8d4982dba00100
requirements.txt Aug 20, 2025 - A framework for the emergence and analysis of language in social learning agents Plain Text - 164 B - MD5: ac431b9da0854fe140232e67d96a18f7

Additional_file_6A_AA_LAR_ANR_DFR.fasta

Aug 22, 2025 - Supplementary data to Evolutionary Dynamics of the Proanthocyanidin Biosynthesis Gene LAR

Unknown - 404.9 KB -

Contains polypeptide sequences of LAR, ANR, and DFR.

Additional_file_6B_CDS_LAR_ANR_DFR.fasta

Aug 22, 2025 - Supplementary data to Evolutionary Dynamics of the Proanthocyanidin Biosynthesis Gene LAR

Unknown - 724.9 KB -

Contains coding sequences (CDS) of LAR, ANR, and DFR.

Code and scripts for ``Matching Lagrangian and Hamiltonian Simulations in (2+1)-dimensional U(1) Gauge Theory''

Aug 20, 2025

Groß, Christiane Franziska; Romiti, Simone; Funcke, Lena; Jansen, Karl; Kan, Angus; Kühn, Stefan; Urbach, Carsten, 2025, "Code and scripts for ``Matching Lagrangian and Hamiltonian Simulations in (2+1)-dimensional U(1) Gauge Theory''", https://doi.org/10.60507/FK2/AUJJ08, bonndata, V1

At finite lattice spacing, Lagrangian and Hamiltonian predictions differ due to discretization effects. In the Hamiltonian limit, i.e. at vanishing temporal lattice spacing a_t, the path integral approach in the Lagrangian formalism reproduces the results of the Hamiltonian theory. In this work, we numerically calculate the Hamiltonian limit of a U...

data.zip

Aug 20, 2025 - Code and scripts for ``Matching Lagrangian and Hamiltonian Simulations in (2+1)-dimensional U(1) Gauge Theory''

ZIP Archive - 257.7 KB -

README.txt

Aug 20, 2025 - Code and scripts for ``Matching Lagrangian and Hamiltonian Simulations in (2+1)-dimensional U(1) Gauge Theory''

Plain Text - 12.0 KB -

A framework for the emergence and analysis of language in social learning agents

Aug 20, 2025 - SFB1089

Wieczorek, Tobias J.; Tchumatchenko, Tatjana; Wert-Carvajal, Carlos; Eggl, Maximilian, 2025, "A framework for the emergence and analysis of language in social learning agents", https://doi.org/10.60507/FK2/Z7NCOP, bonndata, V1

Neural systems have evolved not only to solve environmental challenges through internal representations but also, under social constraints, to communicate these to conspecifics. In this work, we aim to understand the structure of these internal representations and how they may be optimized to transmit pertinent information from one individual to an...

data.zip

Aug 20, 2025 - A framework for the emergence and analysis of language in social learning agents

ZIP Archive - 62.4 MB -

language_emergence_review.ipynb

Aug 20, 2025 - A framework for the emergence and analysis of language in social learning agents

Jupyter Notebook - 230.1 KB -

README.md

Aug 20, 2025 - A framework for the emergence and analysis of language in social learning agents

Markdown Text - 7.3 KB -

requirements.txt

Aug 20, 2025 - A framework for the emergence and analysis of language in social learning agents

Plain Text - 164 B -

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