Item:OSW9dffc9c39a514e8b84be1b2e4cdfb3fc

Symposium on Physics and Machine Learning for Batteries 2024 [OSW9dffc9c39a514e8b84be1b2e4cdfb3fc]
ID	OSW9dffc9c39a514e8b84be1b2e4cdfb3fc
UUID	9dffc9c3-9a51-4e8b-84be-1b2e4cdfb3fc
Label	Symposium on Physics and Machine Learning for Batteries 2024
Machine compatible name	SymposiumOnPhysicsAndMachineLearningForBatteries2024
Ontology equivalents
Statements (outgoing)
Statements (incoming)
Keywords

Description

An in-person symposium hosted at RWTH Aachen on November 6, 2024.

Item
Type(s)/Category(s)	Event

Event
Event series
Start date	2024-11-06
End date	2024-11-06
Duration
Location
URL	https://www.isea.rwth-aachen.de/go/id/bizkqy?#aaaaaaaaabizktu
Organizer
Minutes taker
Project(s)
Associated OU(s)

Participants

Graph

QR Code

Attachments

Description:

📎 Select files (or drop them here)... 📷 Camera

jsondata

type	"Category:OSW0e084decca6f48a7b023d6b7b2c1452d"
uuid	"9dffc9c3-9a51-4e8b-84be-1b2e4cdfb3fc"
label	text "Symposium on Physics and Machine Learning for Batteries 2024" lang "en"
description	text "An in-person symposium hosted at RWTH Aachen on November 6, 2024." lang "en"
start_date	"2024-11-06"
end_date	"2024-09-06"
duration	number 9 unit "hour(s)"
keywords	Empty array
url	"https://www.isea.rwth-aachen.de/go/id/bizkqy?#aaaaaaaaabizktu"
organizer	Empty array
name	"SymposiumOnPhysicsAndMachineLearningForBatteries2024"